The World Air Quality project might look like one of those big projects coming from big organizations... but it is actually just a small team of volunteers behind this project.
Our real motivation is to see the daily impact on the world citizens. One of the users told us one day that "worse than disinformation is the lack of information: I did not know that pollution was so bad". That makes us proud to give this free information and promote pollution awareness 🙏.
We need help to get this project continue growing. If you would like to contribute to the World Air Quality Index project, send us a message, and let's together promote air pollution awareness and drive our little planet towards a pollution free planet 🙏.
How can I help?
The World Air Quality Index project might look big, but it is actually a small but motivated team behind it. There are still many things that the project team want to achieve:
- Forecast: Improve the existing forecast models or add new the forecast models to our forecast page.
- Coverage: Increase world-wide air quality monitoring coverage, especially for Middle-East and Africa.
- Documentation: Write explanatory articles about air pollution.
- Translation: Provide translations for up to 100 languages.
- Data Science: Provide free data over the whole historical records.
- Consumer Product: Review air purifiers, air monitors, masks.
- Engineering: Develop new applications and visualizations.
If you do not have time to contribute, but still would like to help and support our project, what about getting one of our cool GAIA air quality monitoring station? ☀️💨👌
Examples for articles:
- Ultra fine particles (PM1) - are they more dangerous than PM2.5 and is it worth measuring them.
- CO2 - is it an outdoor air pollutant, a climate warmer or an indoor pollutant?
- Indoor Air Quality - what are the pollutant to be aware of?
- Health effect of sulfur dioxide for area close to volcanic mountains
Examples of data-science:
- Open Data Platform for accessing real-time and historical Air Quality Data
- World Ensemble forecast modeling
- Statistical and deep learning based data facts
- Researching new accurate sensors for gas pollutants
Examples of engineering:
- New visualization solutions for the real-time observations and forecast
- API for accessing the real-time observations and forecast
- Time travel Machine - for seeing the air quality at any day back in time
- Applications for i-phone, etc..
About our funding
The World Air Quality project might look like one of those big projects coming from organizations like the UN, ADB or WRI, but it is actually just a small team behind it.
Yet, despite our extensive outreach, our project has never received any financial support from such organizations, wether they are NGOs or governments.
The income comes from online advertising, as well as our GAIA air quality monitoring stations, but it is just enough to pay for the cloud infrastructure.
However, we are working on getting funding for the recruitment of a team dedicated to supporting and enhancing the air quality data platform.
Here is our proposal to the Clean Air Fund: Open Source Data Management System (OSDMS)
